Regional Analysis of Dust Day Duration in Central Iran

Abstract

The duration of dust days (DDD) is one of the most important parameters that may worsen the effects of the presence of dust in the affected areas. Persistent pollution over consecutive dusty days can have particularly negative effects on the human respiratory system. The present analysis was conducted in Central Iran, where the phenomenon of dust is one of the most important problems. In this study, using dust codes recorded at 35 synoptic stations, the homogeneity of DDD across the region was investigated using the L-moments method. Then, characteristics of DDD over the period 1999–2018 were calculated. The results showed that the region is statistically homogeneous. Furthermore, Zabol and Zahdan are the stations worst affected, with the longest durations of 22 and 21 days in 2014. Additionally, the values of DDD with return periods of 5, 10, 25, and 50 years were calculated using fitted statistical distributions and kriging and mapped. Finally, using the K nearest neighbor method the most important factor affecting DDD of the spatial characteristics, including longitude, latitude, elevation, average daily temperature (tm), dew point (td), wind altitude (u), maximum wind speed (ffmax), and direction of the fastest wind (ddmax), was determined. It was found that the southeastern parts of the study area are affected by the longest dust storm duration in all return periods; over longer return periods, long dust storms are also found in the central parts, especially the central desert of Iran. Therefore, these areas should be given priority in fighting and controlling wind erosion. Furthermore, the results showed that the maximum wind speed has the greatest effect on DDD.

Exploring the impact of dust storms on pastoralists’ livelihoods in West Iran: Social, economic, and environmental consequences

“…The second factor involves environmental shocks and variability in arid and semi‐arid regions, leading to alterations in vegetation patterns, water availability, and consequently impacting production systems reliant on climatic conditions (Tan et al., 2017). Dust storms in Iran present a major challenge for the livestock sector by adversely affecting vegetation and agricultural fields (Mesbahzadeh et al., 2022).…”

“…systems reliant on climatic conditions (Tan et al, 2017). Dust storms in Iran present a major challenge for the livestock sector by adversely affecting vegetation and agricultural fields (Mesbahzadeh et al, 2022).…”